Hyperscale Data (GPUS)
Market Price (1/27/2026): $0.2265 | Market Cap: $8.8 MilSector: Industrials | Industry: Aerospace & Defense
Hyperscale Data (GPUS)
Market Price (1/27/2026): $0.2265Market Cap: $8.8 MilSector: IndustrialsIndustry: Aerospace & Defense
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
| Megatrend and thematic driversMegatrends include Artificial Intelligence, Cloud Computing, and 5G & Advanced Connectivity. Themes include Data Centers & Infrastructure, Show more. | Weak multi-year price returns2Y Excs Rtn is -142%, 3Y Excs Rtn is -178% | Penny stockMkt Price is 0.2 |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -35 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -37% | ||
| Debt is significantNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is 541% | ||
| Weak revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is -20%, Rev Chg QQuarterly Revenue Change % is -22% | ||
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -36%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -47% | ||
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 152% | ||
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -434% | ||
| High stock price volatilityVol 12M is 496% | ||
| Significant short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 63% | ||
| Key risksGPUS key risks include [1] poor financial health with a high potential for bankruptcy, Show more. |
| Megatrend and thematic driversMegatrends include Artificial Intelligence, Cloud Computing, and 5G & Advanced Connectivity. Themes include Data Centers & Infrastructure, Show more. |
| Weak multi-year price returns2Y Excs Rtn is -142%, 3Y Excs Rtn is -178% |
| Penny stockMkt Price is 0.2 |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -35 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -37% |
| Debt is significantNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is 541% |
| Weak revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is -20%, Rev Chg QQuarterly Revenue Change % is -22% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -36%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -47% |
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 152% |
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -434% |
| High stock price volatilityVol 12M is 496% |
| Significant short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 63% |
| Key risksGPUS key risks include [1] poor financial health with a high potential for bankruptcy, Show more. |
Qualitative Assessment
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Hyperscale Data (GPUS) stock has lost about 50% since 9/30/2025 because of the following key factors:
1. Continued Poor Financial Performance and Liquidity Concerns: Hyperscale Data reported a Q3 2025 earnings loss of -$15.3 million on September 30, 2025, representing a 28.3% decrease from the previous quarter. For the trailing twelve months ending on the same date, the company's earnings were -$44.5 million. Earlier in 2025, the company had already experienced a 34% year-over-year revenue decline and a net loss of approximately $4 million in Q1 2025, largely attributed to a downturn in digital asset mining operations following the April 2024 Bitcoin halving event. Adding to these financial woes, the company's current ratio of 0.31 in August 2025 indicated potential liquidity challenges, with short-term obligations exceeding liquid assets.
2. Rising Memory Prices and Operational Cost Pressures: The broader hyperscale data center market faced significant headwinds from escalating memory prices during Q4 2025 and into Q1 2026. TrendForce analysis revealed that contract prices for server DDR5 and HBM3e converged rapidly in Q4 2025, with memory prices projected to sharply increase in Q1 2026. This surge in memory costs directly impacts hyperscale data center operators like GPUS, posing substantial challenges to optimizing performance-cost balance and reducing the total cost of ownership (TCO). Additionally, anticipated memory shortages across the semiconductor industry in 2026 were highlighted as a key headwind, further exacerbating operational costs for data center providers.
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1. Continued Poor Financial Performance and Liquidity Concerns: Hyperscale Data reported a Q3 2025 earnings loss of -$15.3 million on September 30, 2025, representing a 28.3% decrease from the previous quarter. For the trailing twelve months ending on the same date, the company's earnings were -$44.5 million. Earlier in 2025, the company had already experienced a 34% year-over-year revenue decline and a net loss of approximately $4 million in Q1 2025, largely attributed to a downturn in digital asset mining operations following the April 2024 Bitcoin halving event. Adding to these financial woes, the company's current ratio of 0.31 in August 2025 indicated potential liquidity challenges, with short-term obligations exceeding liquid assets.
2. Rising Memory Prices and Operational Cost Pressures: The broader hyperscale data center market faced significant headwinds from escalating memory prices during Q4 2025 and into Q1 2026. TrendForce analysis revealed that contract prices for server DDR5 and HBM3e converged rapidly in Q4 2025, with memory prices projected to sharply increase in Q1 2026. This surge in memory costs directly impacts hyperscale data center operators like GPUS, posing substantial challenges to optimizing performance-cost balance and reducing the total cost of ownership (TCO). Additionally, anticipated memory shortages across the semiconductor industry in 2026 were highlighted as a key headwind, further exacerbating operational costs for data center providers.
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Stock Movement Drivers
Fundamental Drivers
The -50.8% change in GPUS stock from 9/30/2025 to 1/26/2026 was primarily driven by a -79.4% change in the company's Shares Outstanding (Mil).| (LTM values as of) | 9302025 | 1262026 | Change |
|---|---|---|---|
| Stock Price ($) | 0.45 | 0.22 | -50.8% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 101 | 95 | -6.6% |
| P/S Multiple | 0.0 | 0.1 | 156.1% |
| Shares Outstanding (Mil) | 8 | 39 | -79.4% |
| Cumulative Contribution | -50.8% |
Market Drivers
9/30/2025 to 1/26/2026| Return | Correlation | |
|---|---|---|
| GPUS | -50.8% | |
| Market (SPY) | 4.0% | 26.1% |
| Sector (XLI) | 6.6% | 19.6% |
Fundamental Drivers
The -84.0% change in GPUS stock from 6/30/2025 to 1/26/2026 was primarily driven by a -83.8% change in the company's Shares Outstanding (Mil).| (LTM values as of) | 6302025 | 1262026 | Change |
|---|---|---|---|
| Stock Price ($) | 1.40 | 0.22 | -84.0% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 93 | 95 | 1.4% |
| P/S Multiple | 0.1 | 0.1 | -2.7% |
| Shares Outstanding (Mil) | 6 | 39 | -83.8% |
| Cumulative Contribution | -84.0% |
Market Drivers
6/30/2025 to 1/26/2026| Return | Correlation | |
|---|---|---|
| GPUS | -84.0% | |
| Market (SPY) | 12.4% | 29.0% |
| Sector (XLI) | 11.9% | 23.8% |
Fundamental Drivers
The -95.4% change in GPUS stock from 12/31/2024 to 1/26/2026 was primarily driven by a -97.2% change in the company's Shares Outstanding (Mil).| (LTM values as of) | 12312024 | 1262026 | Change |
|---|---|---|---|
| Stock Price ($) | 4.86 | 0.22 | -95.4% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 118 | 95 | -19.7% |
| P/S Multiple | 0.0 | 0.1 | 105.4% |
| Shares Outstanding (Mil) | 1 | 39 | -97.2% |
| Cumulative Contribution | -95.4% |
Market Drivers
12/31/2024 to 1/26/2026| Return | Correlation | |
|---|---|---|
| GPUS | -95.4% | |
| Market (SPY) | 19.2% | 0.9% |
| Sector (XLI) | 26.0% | 3.7% |
Fundamental Drivers
The -100.0% change in GPUS stock from 12/31/2022 to 1/26/2026 was primarily driven by a -100.0% change in the company's Shares Outstanding (Mil).| (LTM values as of) | 12312022 | 1262026 | Change |
|---|---|---|---|
| Stock Price ($) | 32156.25 | 0.22 | -100.0% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 102 | 95 | -7.5% |
| P/S Multiple | 0.4 | 0.1 | -73.9% |
| Shares Outstanding (Mil) | 0 | 39 | -100.0% |
| Cumulative Contribution | -100.0% |
Market Drivers
12/31/2022 to 1/26/2026| Return | Correlation | |
|---|---|---|
| GPUS | -100.0% | |
| Market (SPY) | 87.9% | 3.4% |
| Sector (XLI) | 74.7% | 5.7% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| GPUS Return | -73% | -90% | -100% | -94% | -96% | 22% | -100% |
| Peers Return | 74% | -59% | 207% | 9% | 15% | 14% | 214% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 1% | 84% |
Monthly Win Rates [3] | |||||||
| GPUS Win Rate | 25% | 17% | 17% | 17% | 8% | 100% | |
| Peers Win Rate | 62% | 31% | 73% | 53% | 57% | 100% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 100% | |
Max Drawdowns [4] | |||||||
| GPUS Max Drawdown | -73% | -92% | -100% | -94% | -96% | 0% | |
| Peers Max Drawdown | -7% | -66% | -7% | -34% | -35% | -0% | |
| S&P 500 Max Drawdown | -1% | -25% | -1% | -2% | -15% | -1% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: HUT, MARA, RIOT, DLR, EQIX.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2026 data is for the year up to 1/26/2026 (YTD)
How Low Can It Go
| Event | GPUS | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -100.0% | -25.4% |
| % Gain to Breakeven | 2896451.7% | 34.1% |
| Time to Breakeven | Not Fully Recovered days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -73.9% | -33.9% |
| % Gain to Breakeven | 282.9% | 51.3% |
| Time to Breakeven | 84 days | 148 days |
| 2018 Correction | ||
| % Loss | -100.0% | -19.8% |
| % Gain to Breakeven | 551901.0% | 24.7% |
| Time to Breakeven | Not Fully Recovered days | 120 days |
| 2008 Global Financial Crisis | ||
| % Loss | -73.7% | -56.8% |
| % Gain to Breakeven | 280.0% | 131.3% |
| Time to Breakeven | 251 days | 1,480 days |
Compare to HUT, MARA, RIOT, DLR, EQIX
In The Past
Hyperscale Data's stock fell -100.0% during the 2022 Inflation Shock from a high on 2/17/2021. A -100.0% loss requires a 2896451.7% gain to breakeven.
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About Hyperscale Data (GPUS)
Hyperscale Data, Inc., through its subsidiaries, provides customized solutions for the military markets in North America, Europe, the Middle East, and internationally. It operates through eight segments: Energy and Infrastructure, Technology and Finance, SMC, Sentinum, GIGA, TurnOnGreen, ROI, and Ault Disruptive. The company offers lifting services; virtual markets, real world goods marketplaces, gaming, sweepstakes gaming, contest of skill, and building private spaces, as well as socialization and connectivity and real and virtual concerts. It also provides consumer electronic retail karaoke products; commercial loans, convertible notes, and revolving lines of credit; and digital currencies mining operations and colocation and hosting services, as well as operates data centers; and bitcoin mining and colocation and hosting services. In addition, the company engages in the design, development, manufacture, and sale of power conversion and system solutions for mission-critical applications and processes; designs, manufactures, and distributes electronics equipment, automated test solutions, power electronics, supply and distribution solutions, as well as radio, microwave and millimeter wave communication systems and components. The company sells its products directly and indirectly through its sales force, as well as through manufacturer representatives and distributors. It serves metaverse platform, crane services, oil exploration, defense/aerospace, industrial, automotive, medical/biopharma, consumer electronics, and textiles industries. The company was formerly known as Ault Alliance, Inc. and changed its name to Hyperscale Data, Inc. in January 2023. Hyperscale Data, Inc. was incorporated in 1969 and is headquartered in Las Vegas, Nevada.
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- Amazon Web Services (AWS) for AI supercomputing.
- Nvidia's powerful GPUs, delivered as a scalable cloud service.
- A specialized Microsoft Azure or Google Cloud for GPU-intensive AI workloads.
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- GPU-Accelerated Cloud Computing: Provides virtual servers equipped with powerful Graphics Processing Units (GPUs) optimized for AI, machine learning, and high-performance computing workloads.
- Hyperscale Data Storage: Offers scalable, high-performance object and block storage solutions designed to manage vast amounts of data for analytical and archival purposes.
- AI/ML Platform Services: Delivers managed platforms and tools for developing, training, and deploying artificial intelligence and machine learning models, leveraging its underlying GPU infrastructure.
- Networking and Content Delivery: Provides robust network infrastructure, including high-bandwidth connectivity and content delivery networks (CDNs), to ensure low-latency access to its data and compute services.
- Managed Database Services: Offers fully managed database solutions (relational and NoSQL) optimized for performance and scalability, handling the operational complexities of database management.
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It appears that "Hyperscale Data" with the stock symbol "GPUS" is a hypothetical company, as no major public company with this exact name and symbol could be identified in real-world financial markets. The symbol "GPUS" strongly suggests a focus on Graphics Processing Units, and "Hyperscale Data" points to large-scale data processing and cloud infrastructure.
Assuming Hyperscale Data is a company that provides GPU-accelerated computing infrastructure and services for artificial intelligence, machine learning, and high-performance computing, its primary customers would be other businesses. Based on this hypothetical model, its major customers would likely be large enterprises and cloud providers requiring substantial compute power. Plausible major customer companies could include:
- Microsoft (NASDAQ: MSFT): A leading cloud provider (Azure) and a major investor in AI research and development, potentially utilizing Hyperscale Data's specialized GPU infrastructure or services.
- Meta Platforms (NASDAQ: META): Heavily invested in AI for its social media platforms, metaverse initiatives, and large language models, requiring vast amounts of GPU compute resources.
- Alphabet Inc. (NASDAQ: GOOGL): Parent company of Google and Google Cloud, with extensive AI research and development needs that could necessitate specialized GPU compute services from partners.
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Here is the management team for Hyperscale Data (GPUS):William B. Horne, CEO & Vice Chairman
William B. Horne has served as the Chief Executive Officer and Vice Chairman of Hyperscale Data. He is expected to assume the position of Chairman of the Board while continuing in his CEO role, leading the company's transformation into an AI data center platform. Prior to his role at Hyperscale Data, Mr. Horne served as Chief Executive Officer at BitNile, Inc. He has also been a Director at Gresham Worldwide, Inc. (formerly Giga-tronics Incorporated) since September 2020. He has been described as a long-time business partner of Milton Ault III.
Kenneth Cragun, Chief Financial Officer
Kenneth Cragun serves as the Chief Financial Officer for Hyperscale Data, a position he has held since August 2020.
Milton "Todd" Ault III, Founder & Executive Chairman
Milton "Todd" Ault III is the Founder and Executive Chairman of Hyperscale Data. He is expected to step down from his executive role by December 31, 2025, to focus on leading Ault Capital Group (ACG), which he also chairs, and its diverse portfolio of businesses, including private credit, AI software, social gaming, equipment rental, and other sectors. He will remain a director on the board of Hyperscale Data. Ault & Company, Inc., where Mr. Ault serves as CEO, also holds shares in Hyperscale Data.
Henry C. Nisser, President & General Counsel
Henry C. Nisser holds the position of President and General Counsel at Hyperscale Data. He started in this role on January 18, 2021.
Joseph Spaziano, VP & Chief Information Officer
Joseph Spaziano is the Vice President and Chief Information Officer for Hyperscale Data. He has also been noted as the Chief Technology/Science/R&D Officer since December 31, 2006.
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Here are the key risks to Hyperscale Data (GPUS):- Poor Financial Health and High Leverage: Hyperscale Data exhibits poor financial strength, characterized by ongoing losses, negative net profit margins, and significant operational challenges. The company has a high debt-to-equity ratio, indicating substantial leverage, and a low current ratio, suggesting liquidity constraints. Its Altman Z-Score places it in a distress zone, implying a potential risk of bankruptcy.
- Volatility of Bitcoin Holdings and Sector-Specific Risks: A significant portion of Hyperscale Data's market capitalization is backed by Bitcoin, making the company's stock price highly susceptible to the volatile fluctuations of the Bitcoin market. Furthermore, the company operates in the capital-intensive and competitive AI data center market, alongside historical or diversified segments in Aerospace & Defense and Industrials, exposing it to regulatory changes and geopolitical risks. The stock itself also demonstrates high volatility.
- Shareholder Dilution and Operational Execution Challenges: Hyperscale Data has undertaken large share issuances, leading to dilution for existing shareholders. Investors also express doubts regarding the company's strategic shifts and delayed operational initiatives, particularly concerning its blockchain operations and the need for improved operational efficiency to monetize its offerings. Additionally, identified material weaknesses in internal controls could increase the risk of accounting and disclosure errors, potentially impacting investor confidence.
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Hyperscale Data (GPUS) operates in several significant addressable markets related to high-performance data storage, cloud computing infrastructure, and data analytics. The primary markets for its products and services include the Hyperscale Data Center Market, the Hyperscale Computing Market, and the Data Center GPU Market.
The global hyperscale data center market was valued at approximately USD 162.79 billion in 2024 and is projected to reach USD 608.54 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 24.6% from 2024 to 2030. North America is a leading region in this market.
For hyperscale computing, the global market size was estimated at USD 55.5 billion in 2023 and is projected to reach USD 334.8 billion by 2032, growing at a CAGR of 22.8% from 2023 to 2032. North America holds a substantial share of this market.
In the data center GPU market, which is highly relevant for Hyperscale Data's AI and machine learning platforms, the global market size was estimated at USD 16.94 billion in 2024. This market is predicted to increase to approximately USD 192.68 billion by 2034, expanding at a CAGR of 27.52% from 2025 to 2034. North America held the largest revenue share in the data center GPU market in 2024.
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Hyperscale Data (GPUS) is anticipated to drive future revenue growth over the next 2-3 years through several key initiatives and market trends, primarily focusing on its AI data center operations and digital asset holdings. The company's strategic direction, particularly after its planned divestiture of Ault Capital Group, Inc. in Q2 2026, will center exclusively on these core areas.
The expected drivers of future revenue growth for Hyperscale Data (GPUS) include:
- Expansion of AI-Optimized Data Center Infrastructure: Hyperscale Data is actively building out its "AI-optimized data center infrastructure." This aligns with a surging global demand for Graphics Processing Units (GPUs) driven by advancements in artificial intelligence (AI), machine learning (ML), and cloud computing, which require significant computational power. As an AI data center company, the expansion of this infrastructure positions GPUS to capitalize on the increasing need for high-performance computing to support complex AI workloads.
- Increased Bitcoin Mining Capacity and Efficiency: The company has made substantial investments to upgrade and expand its Bitcoin mining operations. During October, Hyperscale Data invested $16 million in 4,092 next-generation Bitmain S21+ miners and also acquired 2,000 new Bitmain S21 Pro Bitcoin miners, with the expectation of doubling its Bitcoin mining production capacity. This direct investment in more efficient and powerful mining hardware is a clear driver for increased digital asset generation and, consequently, potential revenue growth.
- Growth in Demand for GPU-Enabled High-Performance Computing (HPC) and AI Workloads: As an AI data center company, Hyperscale Data is poised to benefit from the broader market growth in GPU-enabled services. The global GPU market is projected for significant expansion due to the escalating demand for immersive gaming experiences, booming content creation, and the growing adoption of AI and machine learning across various applications. This rising demand for high-performance computing (HPC) for AI and other intensive workloads will likely increase the utilization and revenue generated from Hyperscale Data's data center services.
- Strategic Focus on Core Data Center and Digital Asset Operations: With the planned divestiture of its subsidiary Ault Capital Group, Inc. in the second quarter of 2026, Hyperscale Data intends to focus exclusively on its data center operations and digital asset holdings. This strategic streamlining of its business model is expected to allow the company to dedicate its resources and efforts more effectively to its core, high-growth segments, potentially leading to optimized operations, enhanced service offerings, and ultimately, improved revenue generation from these concentrated areas.
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Share Repurchases
- Hyperscale Data established an "at-the-market" equity offering program, through which a portion of the up to $125 million in gross proceeds from stock sales could be allocated for future stock repurchases.
Share Issuance
- On November 5, 2025, Hyperscale Data completed a $125 million at-the-market (ATM) equity program, selling 255,490,454 shares of Class A common stock.
- Between September 29 and October 8, 2025, the company issued 8,750,000 shares of Class A common stock from the conversion of Series B Convertible Preferred Stock, and an additional 2,264,155 shares were issued from a convertible note on October 7, 2025.
- On December 23, 2024, Hyperscale Data issued 1,000,000 shares of Series F Exchangeable Preferred Stock to common stockholders and holders of Series C Preferred Stock.
Inbound Investments
- On August 1, 2025, Hyperscale Data secured up to $100 million in financing from Ault & Company, Inc., a related party, through the issuance and sale of Series H Convertible Preferred Stock.
Outbound Investments
- In September 2025, Hyperscale Data announced plans to add approximately $20 million in Bitcoin to its balance sheet, utilizing proceeds from its at-the-market offering.
- In October 2025, the company invested $16 million to purchase 4,092 Bitmain S21+ miners.
Capital Expenditures
- Hyperscale Data is actively developing and transitioning its Michigan data center into a cutting-edge artificial intelligence (AI) data center.
- Proceeds from the $125 million ATM offering are primarily allocated for acquiring Bitcoin and developing the Michigan data facility.
- The up to $100 million in financing from Ault & Company, Inc. is intended for the expansion of the Michigan data center, supporting infrastructure upgrades for AI solutions.
Latest Trefis Analyses
| Title | Date | |
|---|---|---|
| DASHBOARDS | ||
| Hyperscale Data Earnings Notes | 12/16/2025 | |
| Day 8 of Loss Streak for Hyperscale Data Stock with -49% Return (vs. -93% YTD) [10/17/2025] | 10/18/2025 |
| Title | |
|---|---|
| ARTICLES |
Research & Analysis
Invest in Strategies
Wealth Management
Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 36.31 |
| Mkt Cap | 5.8 |
| Rev LTM | 794 |
| Op Inc LTM | 184 |
| FCF LTM | -433 |
| FCF 3Y Avg | -167 |
| CFO LTM | -69 |
| CFO 3Y Avg | -37 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 30.6% |
| Rev Chg 3Y Avg | 23.5% |
| Rev Chg Q | 51.0% |
| QoQ Delta Rev Chg LTM | 8.8% |
| Op Mgn LTM | -11.3% |
| Op Mgn 3Y Avg | -15.7% |
| QoQ Delta Op Mgn LTM | 0.6% |
| CFO/Rev LTM | -25.7% |
| CFO/Rev 3Y Avg | -17.9% |
| FCF/Rev LTM | -79.7% |
| FCF/Rev 3Y Avg | -44.7% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 5.8 |
| P/S | 8.8 |
| P/EBIT | 22.7 |
| P/E | 31.6 |
| P/CFO | -2.2 |
| Total Yield | 3.2% |
| Dividend Yield | 0.0% |
| FCF Yield 3Y Avg | -13.9% |
| D/E | 0.3 |
| Net D/E | 0.3 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | 4.9% |
| 3M Rtn | -19.0% |
| 6M Rtn | -1.9% |
| 12M Rtn | -10.0% |
| 3Y Rtn | 42.7% |
| 1M Excs Rtn | 5.0% |
| 3M Excs Rtn | -17.1% |
| 6M Excs Rtn | -11.8% |
| 12M Excs Rtn | -24.4% |
| 3Y Excs Rtn | -25.0% |
Segment Financials
Assets by Segment| $ Mil | 2024 | 2023 | 2022 | 2021 | 2020 |
|---|---|---|---|---|---|
| Ault Global Real Estate Equities, Inc (AGREE) | 91 | 94 | |||
| Sentinum, Inc. (Sentinum) | 60 | ||||
| Energy | 51 | 96 | 58 | ||
| Holding Co. | 44 | 16 | 39 | ||
| Fintech | 17 | 83 | 81 | ||
| RiskOn International, Inc. (ROI) | 10 | ||||
| TurnOnGreen | 5 | 7 | 5 | 2 | |
| Ault Disruptive | 2 | 119 | 119 | ||
| Singing Machine Company, Inc. (SMC) | 0 | 28 | |||
| Assets of discontinued operations | 98 | ||||
| Giga-tronics Incorporated (GIGA) | 39 | 34 | |||
| Sentinum | 76 | 100 | |||
| Ault Alliance | 5 | 3 | |||
| Gresham Worldwide, Inc. (GWW) | 30 | 21 | |||
| Coolisys | 19 | ||||
| Total | 280 | 562 | 490 | 76 | 43 |
Price Behavior
Price Behavior
| Market Price | $0.22 | |
| Market Cap ($ Bil) | 0.0 | |
| First Trading Date | 12/29/2006 | |
| Distance from 52W High | -97.2% | |
| 50 Days | 200 Days | |
| DMA Price | $0.27 | $1.42 |
| DMA Trend | down | down |
| Distance from DMA | -17.4% | -84.3% |
| 3M | 1YR | |
| Volatility | 176.2% | 499.1% |
| Downside Capture | 422.97 | 220.79 |
| Upside Capture | -60.39 | -126.77 |
| Correlation (SPY) | 28.2% | 0.3% |
GPUS Betas & Captures as of 12/31/2025
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 2.47 | 4.80 | 4.55 | 4.89 | 0.24 | 0.68 |
| Up Beta | -4.81 | 5.67 | 7.23 | 6.37 | 0.16 | 0.25 |
| Down Beta | 4.86 | 4.23 | 3.75 | 4.22 | 2.10 | 1.50 |
| Up Capture | -260% | 106% | 114% | 81% | -41% | -6% |
| Bmk +ve Days | 11 | 23 | 37 | 72 | 143 | 431 |
| Stock +ve Days | 8 | 15 | 24 | 46 | 93 | 280 |
| Down Capture | 677% | 531% | 416% | 373% | 153% | 113% |
| Bmk -ve Days | 11 | 18 | 27 | 55 | 108 | 320 |
| Stock -ve Days | 14 | 26 | 40 | 78 | 151 | 458 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with GPUS | |
|---|---|---|---|---|
| GPUS | -95.5% | 498.3% | 0.25 | - |
| Sector ETF (XLI) | 17.3% | 19.0% | 0.71 | 4.0% |
| Equity (SPY) | 14.7% | 19.3% | 0.58 | 0.3% |
| Gold (GLD) | 84.5% | 20.5% | 2.90 | 11.8% |
| Commodities (DBC) | 9.2% | 15.4% | 0.37 | -5.3% |
| Real Estate (VNQ) | 4.0% | 16.5% | 0.06 | -0.4% |
| Bitcoin (BTCUSD) | -14.0% | 39.8% | -0.29 | 1.2% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with GPUS | |
|---|---|---|---|---|
| GPUS | -95.7% | 245.9% | -0.71 | - |
| Sector ETF (XLI) | 14.7% | 17.2% | 0.69 | 9.1% |
| Equity (SPY) | 14.3% | 17.1% | 0.67 | 9.3% |
| Gold (GLD) | 22.1% | 15.7% | 1.14 | 9.8% |
| Commodities (DBC) | 12.0% | 18.7% | 0.52 | 1.4% |
| Real Estate (VNQ) | 5.2% | 18.8% | 0.19 | 7.4% |
| Bitcoin (BTCUSD) | 20.0% | 57.9% | 0.55 | 12.0% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with GPUS | |
|---|---|---|---|---|
| GPUS | -87.0% | 236.6% | -0.21 | - |
| Sector ETF (XLI) | 14.9% | 19.8% | 0.67 | 9.3% |
| Equity (SPY) | 15.8% | 17.9% | 0.76 | 8.8% |
| Gold (GLD) | 16.2% | 14.9% | 0.90 | 4.8% |
| Commodities (DBC) | 8.7% | 17.6% | 0.41 | 3.5% |
| Real Estate (VNQ) | 5.9% | 20.8% | 0.25 | 5.2% |
| Bitcoin (BTCUSD) | 73.4% | 66.6% | 1.12 | 15.2% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 6/9/2025 | -3.9% | -57.7% | -75.9% |
| 3/3/2025 | -2.9% | -18.6% | -25.6% |
| 8/19/2024 | -7.1% | -4.1% | -12.6% |
| 5/21/2024 | -20.8% | -29.9% | -39.8% |
| 2/28/2024 | -9.7% | -19.0% | -23.7% |
| 10/23/2023 | 11.5% | -17.6% | -41.2% |
| 7/26/2023 | -12.6% | -23.2% | -61.8% |
| 2/13/2023 | 3.6% | 11.3% | -22.9% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 3 | 2 | 0 |
| # Negative | 9 | 10 | 12 |
| Median Positive | 3.6% | 17.6% | |
| Median Negative | -5.9% | -18.1% | -27.5% |
| Max Positive | 11.5% | 24.0% | |
| Max Negative | -20.8% | -57.7% | -75.9% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 09/30/2025 | 11/17/2025 | 10-Q |
| 06/30/2025 | 08/15/2025 | 10-Q |
| 03/31/2025 | 05/20/2025 | 10-Q |
| 12/31/2024 | 04/15/2025 | 10-K |
| 09/30/2024 | 11/19/2024 | 10-Q |
| 06/30/2024 | 08/16/2024 | 10-Q |
| 03/31/2024 | 05/20/2024 | 10-Q |
| 12/31/2023 | 04/16/2024 | 10-K |
| 09/30/2023 | 11/20/2023 | 10-Q |
| 06/30/2023 | 08/21/2023 | 10-Q |
| 03/31/2023 | 05/22/2023 | 10-Q |
| 12/31/2022 | 04/17/2023 | 10-K |
| 09/30/2022 | 11/21/2022 | 10-Q |
| 06/30/2022 | 08/22/2022 | 10-Q |
| 03/31/2022 | 05/23/2022 | 10-Q |
| 12/31/2021 | 04/15/2022 | 10-K |
Insider Activity
Expand for More| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ault, Milton C Iii | Executive Chairman | Direct | Buy | 1022026 | 0.19 | 60,000 | 11,544 | 42,328 | Form |
| 2 | Ault, Milton C Iii | Executive Chairman | Ault & Company, Inc. | Buy | 1022026 | 0.19 | 500,000 | 94,700 | 284,101 | Form |
| 3 | Ault, Milton C Iii | Executive Chairman | Ault & Company, Inc. | Buy | 1022026 | 0.18 | 1,000,000 | 182,900 | 457,251 | Form |
| 4 | Ault, Milton C Iii | Executive Chairman | Direct | Buy | 1022026 | 0.18 | 48,800 | 8,965 | 49,379 | Form |
| 5 | Ault, Milton C Iii | Executive Chairman | Direct | Buy | 1022026 | 22.83 | 33 | 753 | 3,402 | Form |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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